[R] Clustering with R - efficient processing of large sparse data sets (text data)

I checked the R procedure HCLUST (hierarchical clustering) but it looks like it requires a full triangular n x n similarity matrix as input, where n = number of observations. The number of variables is 200. My data set has n = 50,000 observations (keywords), and I use ad-hoc similarity measures, n

[R] Clustering with R - efficient processing of large sparse data sets (text data)

I checked the R procedure HCLUST (hierarchical clustering) but it looks like it requires a full triangular n x n similarity matrix as input, where n = number of observations. The number of variables is 200. My data set has n = 50,000 observations (keywords), and I use ad-hoc similarity measures, n

[R] View this page "R-Packages (Statistical Computing)"

Click on http://groups.google.com/group/r-help-archive/web/r-packages-statistical-computing - or copy & paste it into your browser's address bar if that doesn't work. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PL

[R] View this page "R-Packages (Statistical Computing)"

Click on http://groups.google.com/group/r-help-archive/web/r-packages-statistical-computing - or copy & paste it into your browser's address bar if that doesn't work. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PL

[R] R graphics

Graphics about... Bayesian ChemPhys Cluster Distributions Econometrics Environmetrics ExperimentalDesign Finance Genetics gR Graphics HighPerformanceComputing MachineLearning MedicalImaging Multivariate NaturalLanguageProcessing Optimization Pharmacokinetics Psychometrics Robust SocialSciences Spa

[R] New random number generator (RNG)

Based on very fast converging series for special transcendental numbers. Is there some R code available? See details about the RNG at http://www.analyticbridge.com/profiles/blogs/new-state-of-the-art-random-number-generator-simple-strong-and-fa __ R-hel